WGU D685 PRACTICAL APPLICATIONS OF
PROMPT PA AND OA COMPLETE TEST PAPER
WITH CORRECT ANSWERS
◉ Reinforcement Learning.
Answer: a type of machine learning wherein an AI agent learns
through interactions with an environment, garnering rewards or
penalties contingent upon its actions
◉ neural networks.
Answer: computational models inspired by the structure and
function of the human brain's neural networks that learn from data
called training to recognize patterns, make predictions, and perform
tasks such as classification, regression, and pattern recognition
◉ Deep Learning.
Answer: a powerful subset of machine learning that uses artificial
neural networks to learn from large amounts of data
◉ Generative AI.
Answer: AI systems that can create new content
◉ Large Language Models (LLMs).
, Answer: a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like
language
◉ Natural Language Processing (NLP).
Answer: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the
intricacies of human communication
◉ Chatbots.
Answer: AI programs designed to engage in natural conversations
with people, providing information, answering questions, and even
offering emotional support
◉ Computer Vision.
Answer: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such as
images and videos
◉ Robotics.
Answer: the field of AI that focuses on designing, constructing, and
operating robots
◉ Statistical Analysis.
PROMPT PA AND OA COMPLETE TEST PAPER
WITH CORRECT ANSWERS
◉ Reinforcement Learning.
Answer: a type of machine learning wherein an AI agent learns
through interactions with an environment, garnering rewards or
penalties contingent upon its actions
◉ neural networks.
Answer: computational models inspired by the structure and
function of the human brain's neural networks that learn from data
called training to recognize patterns, make predictions, and perform
tasks such as classification, regression, and pattern recognition
◉ Deep Learning.
Answer: a powerful subset of machine learning that uses artificial
neural networks to learn from large amounts of data
◉ Generative AI.
Answer: AI systems that can create new content
◉ Large Language Models (LLMs).
, Answer: a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like
language
◉ Natural Language Processing (NLP).
Answer: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the
intricacies of human communication
◉ Chatbots.
Answer: AI programs designed to engage in natural conversations
with people, providing information, answering questions, and even
offering emotional support
◉ Computer Vision.
Answer: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such as
images and videos
◉ Robotics.
Answer: the field of AI that focuses on designing, constructing, and
operating robots
◉ Statistical Analysis.
